Create app.py

app.py

@@ -0,0 +1,94 @@
+import streamlit as st
+import requests
+from pydub import AudioSegment
+from pydub.playback import play
+from io import BytesIO
+import os
+from gtts import gTTS
+import speech_recognition as sr
+from groq import Groq
+
+# Set up Groq API
+groq_api_key = "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"
+client = Groq(api_key=groq_api_key)
+
+def process_text(text):
+    # Use Groq to generate a response
+    try:
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {"role": "user", "content": text}
+            ],
+            model="llama3-8b-8192",
+        )
+        return chat_completion.choices[0].message.content
+    except Exception as e:
+        return f"Error fetching Groq data: {e}"
+
+def text_to_speech(text, lang='ur'):
+    # Convert text to speech
+    tts = gTTS(text=text, lang=lang)
+    audio_file = BytesIO()
+    tts.write_to_fp(audio_file)
+    audio_file.seek(0)
+    return audio_file
+
+def audio_to_text(audio_file):
+    # Convert audio to text
+    recognizer = sr.Recognizer()
+    audio = sr.AudioFile(audio_file)
+    with audio as source:
+        audio_data = recognizer.record(source)
+        try:
+            text = recognizer.recognize_google(audio_data, language='ur')
+            return text
+        except sr.UnknownValueError:
+            return "Could not understand audio"
+        except sr.RequestError as e:
+            return f"Could not request results; {e}"
+
+# Streamlit UI
+st.title("Urdu Voice Assistant")
+
+mode = st.radio("Choose input method", ("Real-time Voice", "Upload Voice File"))
+
+if mode == "Real-time Voice":
+    st.write("Click the button and start speaking.")
+    if st.button("Start Recording"):
+        st.write("Recording... Please wait.")
+        recognizer = sr.Recognizer()
+        with sr.Microphone() as source:
+            audio_data = recognizer.listen(source)
+            st.write("Processing...")
+            try:
+                text = recognizer.recognize_google(audio_data, language='ur')
+                st.write(f"You said: {text}")
+
+                # Get response from Groq
+                response_text = process_text(text)
+                st.write(f"Response: {response_text}")
+
+                # Convert response to audio
+                audio_file = text_to_speech(response_text)
+                st.audio(audio_file, format='audio/mp3')
+            except sr.UnknownValueError:
+                st.write("Sorry, could not understand the audio.")
+            except sr.RequestError as e:
+                st.write(f"Sorry, there was an error with the request: {e}")
+
+elif mode == "Upload Voice File":
+    uploaded_file = st.file_uploader("Upload an audio file", type=["wav", "mp3"])
+    if uploaded_file:
+        st.write("Processing...")
+        # Convert the uploaded file to text
+        text = audio_to_text(uploaded_file)
+        st.write(f"Transcribed Text: {text}")
+
+        # Get response from Groq
+        response_text = process_text(text)
+        st.write(f"Response: {response_text}")
+
+        # Convert response to audio
+        audio_file = text_to_speech(response_text)
+        st.audio(audio_file, format='audio/mp3')
+