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app.py

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+import streamlit as st
+import speech_recognition as sr
+
+def transcribe_audio(audio_file):
+    recognizer = sr.Recognizer()
+    with sr.AudioFile(audio_file) as source:
+        audio_data = recognizer.record(source)
+        try:
+            text = recognizer.recognize_google(audio_data)
+            return text
+        except sr.UnknownValueError:
+            return "Speech recognition could not understand audio"
+        except sr.RequestError as e:
+            return f"Could not request results; {e}"
+
+def main():
+    st.title("Audio to Text Converter")
+
+    uploaded_file = st.file_uploader("Upload an audio file", type=["wav"])
+
+    if uploaded_file is not None:
+        st.audio(uploaded_file, format='audio/wav')
+        if st.button("Transcribe"):
+            with st.spinner("Transcribing..."):
+                text_result = transcribe_audio(uploaded_file)
+                st.write("Transcript:", text_result)
+
+if __name__ == "__main__":
+    main()
+
+
+
+

requirements.txt

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+
+
+
+
+SpeechRecognition==3.10.1
+streamlit==1.29.0