Create app.py

app.py

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+import os
+import streamlit as st
+import torch
+from transformers import pipeline
+import speech_recognition as sr
+from gtts import gTTS
+from pydub import AudioSegment
+from io import BytesIO
+
+# Set your Hugging Face API key
+os.environ["HUGGINGFACEHUB_API_TOKEN"] = "doctor app"
+
+# Load the Hugging Face model
+chatbot = pipeline("conversational", model="thrishala/mental_health_chatbot")
+
+# Function to get voice input using Whisper
+def get_voice_input():
+    recognizer = sr.Recognizer()
+    with sr.Microphone() as source:
+        st.write("Listening...")
+        audio = recognizer.listen(source)
+        st.write("Recognizing...")
+        try:
+            text = recognizer.recognize_whisper(audio)
+            return text
+        except sr.UnknownValueError:
+            st.error("Sorry, I could not understand the audio.")
+            return None
+        except sr.RequestError as e:
+            st.error(f"Could not request results; {e}")
+            return None
+
+# Function to generate voice response using gTTS
+def speak(text):
+    tts = gTTS(text=text, lang='en')
+    audio_file = BytesIO()
+    tts.save(audio_file)
+    audio_file.seek(0)
+    return audio_file
+
+# Streamlit app layout
+st.title("Mental Health Chatbot")
+st.write("Talk to your mental health assistant!")
+
+# Voice input button
+if st.button("Speak"):
+    user_input = get_voice_input()
+    if user_input:
+        st.write(f"You: {user_input}")
+        # Get response from the chatbot
+        response = chatbot(user_input)[0]['generated_text']
+        st.write(f"Bot: {response}")
+        # Generate voice response
+        audio_output = speak(response)
+        st.audio(audio_output, format="audio/mp3")
+
+# Text input
+user_input = st.text_input("Type your message:")
+if st.button("Send"):
+    if user_input:
+        st.write(f"You: {user_input}")
+        # Get response from the chatbot
+        response = chatbot(user_input)[0]['generated_text']
+        st.write(f"Bot: {response}")
+        # Generate voice response
+        audio_output = speak(response)
+        st.audio(audio_output, format="audio/mp3")