Upload 3 files

app.py

@@ -0,0 +1,217 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+import torch
+import requests
+import os
+
+# ============================================
+# MODEL SETUP - BharatGen Param-1 Instruct
+# ============================================
+
+print("Loading BharatGen Param-1...")
+
+# Use Instruct version for better responses
+PARAM1_MODEL = "bharatgenai/Param-1-2.9B-Instruct"
+HF_TOKEN = os.getenv("HF_TOKEN")
+
+# Load tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained(PARAM1_MODEL, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(
+    PARAM1_MODEL,
+    trust_remote_code=True,
+    torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
+    device_map="auto",
+    low_cpu_mem_usage=True
+)
+
+# STT Model - AI4Bharat IndicConformer
+STT_API = "https://api-inference.huggingface.co/models/ai4bharat/conformer_multilingual"
+
+# ============================================
+# SYSTEM PROMPT FOR WOMEN EMPOWERMENT
+# ============================================
+
+SYSTEM_PROMPT = """आप एक सहायक AI हैं जो भारतीय महिलाओं की सुरक्षा और सशक्तिकरण के लिए बनाई गई है।
+
+निम्नलिखित विश्लेषण प्रदान करें:
+1. भावना श्रेणी (Emergency/Distress/Help Needed/Support/Positive)
+2. सहानुभूतिपूर्ण प्रतिक्रिया (1-2 वाक्य)
+3. 2-3 ठोस कार्रवाई
+4. प्रासंगिक हेल्पलाइन (यदि आवश्यक हो)
+
+महत्वपूर्ण हेल्पलाइन:
+- महिला हेल्पलाइन: 181
+- पुलिस आपातकाल: 100, 112
+- मानसिक स्वास्थ्य: NIMHANS 080-46110007
+
+उत्तर संक्षिप्त, व्यावहारिक और सहायक हो।"""
+
+# ============================================
+# CORE FUNCTIONS
+# ============================================
+
+def transcribe_audio(audio_path):
+    """Convert speech to text using IndicConformer"""
+    try:
+        with open(audio_path, "rb") as f:
+            data = f.read()
+        
+        response = requests.post(
+            STT_API,
+            headers={"Authorization": f"Bearer {HF_TOKEN}"},
+            data=data,
+            timeout=30
+        )
+        
+        result = response.json()
+        
+        # Handle different response formats
+        if isinstance(result, dict) and "text" in result:
+            return result["text"]
+        elif isinstance(result, list) and len(result) > 0:
+            return result[0].get("text", "")
+        else:
+            return ""
+            
+    except Exception as e:
+        print(f"STT Error: {e}")
+        return ""
+
+def analyze_sentiment_and_suggest(text):
+    """Use BharatGen Param-1 for sentiment analysis and suggestions"""
+    try:
+        # Create prompt for BharatGen
+        prompt = f"""{SYSTEM_PROMPT}
+
+महिला का कथन: {text}
+
+विश्लेषण और सुझाव:"""
+
+        inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+        
+        with torch.no_grad():
+            outputs = model.generate(
+                **inputs,
+                max_new_tokens=250,
+                do_sample=True,
+                top_k=50,
+                top_p=0.95,
+                temperature=0.7,
+                eos_token_id=tokenizer.eos_token_id,
+                pad_token_id=tokenizer.pad_token_id
+            )
+        
+        generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+        
+        # Extract only the response after the prompt
+        response = generated_text.split("विश्लेषण और सुझाव:")[-1].strip()
+        
+        return response
+        
+    except Exception as e:
+        print(f"Analysis Error: {e}")
+        return f"⚠️ विश्लेषण में त्रुटि। कृपया पुनः प्रयास करें।\nError: {str(e)}"
+
+def process_voice_input(audio):
+    """Main pipeline: Voice → Text → Analysis → Suggestions"""
+    
+    if audio is None:
+        return "⚠️ कृपया अपनी आवाज़ रिकॉर्ड करें।\n⚠️ Please record your voice."
+    
+    try:
+        # Step 1: Speech to Text
+        print("Converting speech to text...")
+        transcribed_text = transcribe_audio(audio)
+        
+        if not transcribed_text or len(transcribed_text.strip()) < 3:
+            return """⚠️ आपकी आवाज़ स्पष्ट नहीं सुनाई दी। कृपया फिर से बोलें।
+⚠️ Could not understand your voice clearly. Please speak again."""
+        
+        # Step 2: Sentiment Analysis and Suggestions
+        print(f"Analyzing: {transcribed_text}")
+        suggestions = analyze_sentiment_and_suggest(transcribed_text)
+        
+        # Format output
+        output = f"""📝 **आपने कहा / What you said:**
+{transcribed_text}
+
+━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+
+🤖 **विश्लेषण और सुझाव / Analysis & Suggestions:**
+{suggestions}
+
+━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+
+📞 **आपातकालीन संपर्क / Emergency Contacts:**
+• महिला हेल्पलाइन: 181
+• पुलिस आपातकाल: 100, 112
+• मानसिक स्वास्थ्य: 080-46110007
+"""
+        
+        return output
+        
+    except Exception as e:
+        return f"""❌ त्रुटि / Error: {str(e)}
+
+कृपया पुनः प्रयास करें या सीधे 181 पर कॉल करें।
+Please try again or call 181 directly for immediate help."""
+
+# ============================================
+# GRADIO INTERFACE
+# ============================================
+
+# Custom CSS for better UI
+custom_css = """
+.gradio-container {
+    font-family: 'Inter', sans-serif;
+}
+.output-box {
+    font-size: 16px;
+    line-height: 1.6;
+}
+"""
+
+# Create interface
+demo = gr.Interface(
+    fn=process_voice_input,
+    inputs=gr.Audio(
+        sources=["microphone"],
+        type="filepath",
+        label="🎤 अपनी आवाज़ रिकॉर्ड करें / Record Your Voice",
+        show_label=True
+    ),
+    outputs=gr.Textbox(
+        label="📋 विश्लेषण और सुझाव / Analysis & Suggestions",
+        lines=20,
+        show_label=True,
+        elem_classes="output-box"
+    ),
+    title="🌸 महिला सशक्तिकरण सहायक / Women Empowerment Assistant",
+    description="""
+    **हिंदी और अंग्रेजी में बोलें | Speak in Hindi or English**
+    
+    यह एक AI-आधारित सहायक है जो महिलाओं की चिंताओं को सुनता है और व्यावहारिक सुझाव देता है।
+    
+    *This AI assistant listens to women's concerns and provides actionable suggestions.*
+    
+    🔒 **गोपनीयता:** आपकी आवाज़ सुरक्षित है। | Your voice is secure.
+    """,
+    theme=gr.themes.Soft(
+        primary_hue="pink",
+        secondary_hue="purple"
+    ),
+    examples=[],
+    css=custom_css,
+    allow_flagging="never"
+)
+
+# ============================================
+# LAUNCH
+# ============================================
+
+if __name__ == "__main__":
+    demo.launch(
+        share=False,
+        server_name="0.0.0.0",
+        server_port=7860
+    )

config.py

@@ -0,0 +1,39 @@
+"""
+Configuration file for Women Empowerment Voice Assistant
+"""
+
+# Model Configuration
+BHARATGEN_MODEL = "bharatgenai/Param-1-2.9B-Instruct"
+STT_MODEL = "ai4bharat/conformer_multilingual"
+
+# Supported Languages (current)
+SUPPORTED_LANGUAGES = [
+    "Hindi (हिंदी)",
+    "English (अंग्रेजी)",
+    "Marathi (मराठी)",
+    "Tamil (தமிழ்)",
+    "Malayalam (മലയാളം)",
+    "Bengali (বাংলা)",
+    "Punjabi (ਪੰਜਾਬੀ)",
+    "Gujarati (ગુજરાતી)",
+    "Telugu (తెలుగు)",
+    "Kannada (ಕನ್ನಡ)"
+]
+
+# Emergency Contacts
+HELPLINES = {
+    "women_helpline": "181",
+    "police_emergency": "100, 112",
+    "child_helpline": "1098",
+    "mental_health": "080-46110007",
+    "domestic_violence": "181"
+}
+
+# Generation Parameters
+GEN_CONFIG = {
+    "max_new_tokens": 250,
+    "temperature": 0.7,
+    "top_k": 50,
+    "top_p": 0.95,
+    "do_sample": True
+}

requirements.txt

@@ -0,0 +1,8 @@
+gradio==4.44.0
+transformers==4.45.0
+torch==2.4.0
+accelerate==0.34.0
+requests==2.32.0
+soundfile==0.12.1
+librosa==0.10.1
+sentencepiece==0.2.0