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Commit ·
52002cf
1
Parent(s): fe06b42
Add Groq Llama 3.2 Vision implementation with strict formatting constraints
Browse files- ai_router.py +3 -0
- config.py +2 -1
- models/groq_vision.py +91 -0
- static/app.js +8 -7
- templates/index.html +1 -0
ai_router.py
CHANGED
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@@ -1,6 +1,7 @@
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from models.blip_model import blip_answer
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from models.reasoning_model import reasoning_answer
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from models.gemini_vision import gemini_vision_answer
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try:
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from deep_translator import GoogleTranslator
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@@ -21,6 +22,8 @@ def route_model(model_choice, image, question, lang="en"):
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cap, ans, exp = reasoning_answer(image, question)
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elif model_choice == "gemini":
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cap, ans, exp = gemini_vision_answer(image, question, lang)
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else:
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cap, ans, exp = "Unknown", "Invalid", "Invalid"
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from models.blip_model import blip_answer
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from models.reasoning_model import reasoning_answer
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from models.gemini_vision import gemini_vision_answer
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from models.groq_vision import groq_vision_answer
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try:
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from deep_translator import GoogleTranslator
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cap, ans, exp = reasoning_answer(image, question)
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elif model_choice == "gemini":
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cap, ans, exp = gemini_vision_answer(image, question, lang)
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elif model_choice == "groq":
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cap, ans, exp = groq_vision_answer(image, question, lang)
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else:
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cap, ans, exp = "Unknown", "Invalid", "Invalid"
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config.py
CHANGED
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@@ -13,4 +13,5 @@ GEMINI_API_KEY = os.getenv("GEMINI_API_KEY", "AIzaSyB1fMfnnp2etuOVWiLrecdMp3_0Gb
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# ===== Security Limits =====
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MAX_IMAGE_SIZE_MB = 5
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RATE_LIMIT_PER_MINUTE = 30
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-
HF_TOKEN = os.getenv("HF_TOKEN", "")
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# ===== Security Limits =====
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MAX_IMAGE_SIZE_MB = 5
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RATE_LIMIT_PER_MINUTE = 30
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HF_TOKEN = os.getenv("HF_TOKEN", "")
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GROQ_API_KEY = os.getenv("GROQ_API_KEY", "")
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models/groq_vision.py
ADDED
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@@ -0,0 +1,91 @@
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import os
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import io
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import base64
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import requests
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import re
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from config import GROQ_API_KEY
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def groq_vision_answer(image, question, lang="en"):
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token = GROQ_API_KEY or os.getenv("GROQ_API_KEY")
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if not token:
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return "Setup Required", "Groq API Key is missing.", "Please set the GROQ_API_KEY in config.py or environment."
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try:
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model_id = "llama-3.2-11b-vision-preview"
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api_url = "https://api.groq.com/openai/v1/chat/completions"
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headers = {
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"Authorization": f"Bearer {token}",
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"Content-Type": "application/json"
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}
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if image.mode != 'RGB':
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image = image.convert('RGB')
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# Max resolution of 600x600 for reliable API processing
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image.thumbnail((600, 600))
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buffered = io.BytesIO()
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image.save(buffered, format="JPEG", quality=85)
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img_b64 = base64.b64encode(buffered.getvalue()).decode("utf-8")
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img_data_url = f"data:image/jpeg;base64,{img_b64}"
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prompt = f"""Analyze this image carefully.
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Question:
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{question}
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CRITICAL RULES FOR YOUR RESPONSE:
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1. You MUST respond strictly in the language code: {lang}. All text in your output must be translated to '{lang}'.
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2. You MUST use EXACTLY the format below with these English labels.
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3. The Caption MUST be exactly 1 line only.
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4. The Final Answer MUST be exactly 1 line only.
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5. The Explanation MUST be strictly 2 to 3 lines maximum. Be very concise and do not exceed this limit!
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Respond strictly following this exact structure without any deviations or markdown blocks.
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Caption: <one-line caption>
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Final Answer: <one-line answer>
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Explanation: <2-3 lines max explanation>"""
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payload = {
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"model": model_id,
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"messages": [
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{
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"role": "user",
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"content": [
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{"type": "text", "text": prompt},
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{"type": "image_url", "image_url": {"url": img_data_url}}
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]
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}
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],
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"max_tokens": 512,
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"temperature": 0.2
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}
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response = requests.post(api_url, headers=headers, json=payload, timeout=60)
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if response.status_code != 200:
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return "Groq Server Error", f"HTTP {response.status_code}", response.text
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data = response.json()
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raw_text = data["choices"][0]["message"]["content"]
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# Parse response using regex
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caption_match = re.search(r'Caption:\s*(.*?)(?=Final Answer:|$)', raw_text, re.IGNORECASE | re.DOTALL)
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answer_match = re.search(r'Final Answer:\s*(.*?)(?=Explanation:|$)', raw_text, re.IGNORECASE | re.DOTALL)
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explanation_match = re.search(r'Explanation:\s*(.*)', raw_text, re.IGNORECASE | re.DOTALL)
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caption = caption_match.group(1).strip() if caption_match else "Caption not generated correctly."
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answer = answer_match.group(1).strip() if answer_match else "Answer not generated correctly."
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explanation = explanation_match.group(1).strip() if explanation_match else "Explanation not generated correctly."
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# Filter out markdown bolds if they leaked and force one-line where needed
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caption = caption.replace("**", "").replace("\n", " ")
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answer = answer.replace("**", "").replace("\n", " ")
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explanation = explanation.replace("**", "")
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return caption, answer, explanation
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except Exception as e:
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return "Groq API Error", "The request crashed.", repr(e)
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static/app.js
CHANGED
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@@ -2,7 +2,7 @@
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let appState = {
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username: '',
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logs: [],
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stats: { total: 0, local: 0, gemini: 0 },
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geminiEnabled: true
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};
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@@ -355,6 +355,7 @@ async function fetchLogs() {
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appState.stats.total = appState.logs.length;
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appState.stats.local = appState.logs.filter(l => ['local', 'blip', 'reasoning'].includes(l.model.toLowerCase())).length;
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appState.stats.gemini = appState.logs.filter(l => ['gemini', 'external'].includes(l.model.toLowerCase())).length;
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updateDashboardView();
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} catch(err) {
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@@ -364,7 +365,7 @@ async function fetchLogs() {
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function updateDashboardView() {
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els.statTotal.innerText = appState.stats.total;
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els.statModels.innerText = `${appState.stats.local} Local / ${appState.stats.gemini} Cloud`;
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renderLogs();
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updateChart();
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}
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tr.innerHTML = `
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<td>${log.timestamp}</td>
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<td><span class="user-badge" style="color: var(--text-secondary);"><i class="fa-solid fa-user"></i> ${log.user}</span></td>
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<td><span style="color: ${['gemini'].some(m => log.model.includes(m)) ? 'var(--accent)' : 'var(--success)'}">${log.model.toUpperCase().replace('_', ' ')}</span></td>
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<td>${log.question.length > 50 ? log.question.substring(0, 50) + '...' : log.question}</td>
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`;
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els.logsBody.appendChild(tr);
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function getChartData() {
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return {
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labels: ['BLIP + FLAN (Local)', 'Gemini AI (Cloud)'],
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datasets: [{
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label: 'Queries',
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data: [appState.stats.local, appState.stats.gemini],
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backgroundColor: ['rgba(16, 185, 129, 0.6)', 'rgba(99, 102, 241, 0.6)'],
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borderColor: ['rgba(16, 185, 129, 1)', 'rgba(99, 102, 241, 1)'],
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borderWidth: 1, borderRadius: 6
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}]
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};
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let appState = {
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username: '',
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logs: [],
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stats: { total: 0, local: 0, gemini: 0, groq: 0 },
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geminiEnabled: true
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};
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appState.stats.total = appState.logs.length;
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appState.stats.local = appState.logs.filter(l => ['local', 'blip', 'reasoning'].includes(l.model.toLowerCase())).length;
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appState.stats.gemini = appState.logs.filter(l => ['gemini', 'external'].includes(l.model.toLowerCase())).length;
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appState.stats.groq = appState.logs.filter(l => ['groq'].includes(l.model.toLowerCase())).length;
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updateDashboardView();
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} catch(err) {
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function updateDashboardView() {
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els.statTotal.innerText = appState.stats.total;
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els.statModels.innerText = `${appState.stats.local} Local / ${appState.stats.gemini + appState.stats.groq} Cloud`;
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renderLogs();
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updateChart();
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}
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tr.innerHTML = `
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<td>${log.timestamp}</td>
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<td><span class="user-badge" style="color: var(--text-secondary);"><i class="fa-solid fa-user"></i> ${log.user}</span></td>
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<td><span style="color: ${['gemini', 'groq'].some(m => log.model.includes(m)) ? 'var(--accent)' : 'var(--success)'}">${log.model.toUpperCase().replace('_', ' ')}</span></td>
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<td>${log.question.length > 50 ? log.question.substring(0, 50) + '...' : log.question}</td>
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`;
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els.logsBody.appendChild(tr);
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function getChartData() {
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return {
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labels: ['BLIP + FLAN (Local)', 'Gemini AI (Cloud)', 'Groq Vision (Cloud)'],
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datasets: [{
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label: 'Queries',
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data: [appState.stats.local, appState.stats.gemini, appState.stats.groq],
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backgroundColor: ['rgba(16, 185, 129, 0.6)', 'rgba(99, 102, 241, 0.6)', 'rgba(245, 158, 11, 0.6)'],
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borderColor: ['rgba(16, 185, 129, 1)', 'rgba(99, 102, 241, 1)', 'rgba(245, 158, 11, 1)'],
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borderWidth: 1, borderRadius: 6
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}]
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};
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templates/index.html
CHANGED
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@@ -97,6 +97,7 @@
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<select id="model-selector">
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<option value="local">BLIP + FLAN (Local)</option>
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<option value="gemini" id="gemini-option">Gemini 3.1 Flash Vision (High Quota)</option>
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</select>
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</div>
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<div class="control-group" style="flex: 1;">
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<select id="model-selector">
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<option value="local">BLIP + FLAN (Local)</option>
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<option value="gemini" id="gemini-option">Gemini 3.1 Flash Vision (High Quota)</option>
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<option value="groq" id="groq-option">Groq Llama 3.2 Vision (Strict Constraints)</option>
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</select>
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</div>
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<div class="control-group" style="flex: 1;">
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