Update requirements.txt

requirements.txt

@@ -1,139 +1,12 @@
-import gradio as gr
-import speech_recognition as sr
-from time import time
-import threading
-from pydub import AudioSegment
-from pydub.playback import play
-import io
-
-# Global variables
-is_recording = False
-start_beep = AudioSegment.silent(duration=200).append(AudioSegment.from_wav(io.BytesIO(b''), crossfade=100)
-end_beep = AudioSegment.silent(duration=200).append(AudioSegment.from_wav(io.BytesIO(b'')), crossfade=100)
-
-def play_start_sound():
-    try:
-        play(start_beep)
-    except:
-        pass
-
-def play_end_sound():
-    try:
-        play(end_beep)
-    except:
-        pass
-
-def start_recording(audio_time_limit):
-    global is_recording
-    is_recording = True
-    recognizer = sr.Recognizer()
-    microphone = sr.Microphone()
-    
-    play_start_sound()
-    
-    with microphone as source:
-        recognizer.adjust_for_ambient_noise(source, duration=0.5)
-        try:
-            audio = recognizer.listen(source, timeout=3, phrase_time_limit=audio_time_limit)
-            text = recognizer.recognize_google(audio)
-            return text
-        except sr.WaitTimeoutError:
-            return ""
-        except sr.UnknownValueError:
-            return ""
-        except Exception as e:
-            print(f"Error: {str(e)}")
-            return ""
-        finally:
-            play_end_sound()
-            is_recording = False
-
-def transcribe_audio(audio_time_limit=10):
-    def execute_recording():
-        nonlocal result
-        result = start_recording(audio_time_limit)
-    
-    result = ""
-    recording_thread = threading.Thread(target=execute_recording)
-    recording_thread.start()
-    
-    start_time = time()
-    while is_recording and (time() - start_time) < audio_time_limit:
-        time_elapsed = time() - start_time
-        time_left = max(0, audio_time_limit - time_elapsed)
-        progress = 1 - (time_left / audio_time_limit)
-        yield {"__type__": "update", "value": f"🎤 Recording... {time_left:.1f}s left", "visible": True}, {"__type__": "update", "value": "", "visible": True}
-        gr.sleep(0.1)
-    
-    recording_thread.join()
-    yield {"__type__": "update", "value": "✅ Done!", "visible": True}, {"__type__": "update", "value": result, "visible": True}
-
-def create_ui():
-    css = """
-    .mic-button {
-        background: linear-gradient(45deg, #FF3366, #BA265D) !important;
-        border: none !important;
-        color: white !important;
-        padding: 12px !important;
-        border-radius: 50% !important;
-        height: 50px !important;
-        width: 50px !important;
-        margin-left: 10px !important;
-    }
-    .mic-button:hover {
-        transform: scale(1.05) !important;
-    }
-    .input-with-mic {
-        display: flex !important;
-        align-items: center !important;
-        gap: 10px !important;
-    }
-    .status-message {
-        font-style: italic;
-        color: #666;
-        margin-top: 5px;
-    }
-    """
-    
-    with gr.Blocks(css=css) as demo:
-        gr.Markdown("## 🎤 Speech to Text Converter")
-        
-        with gr.Group():
-            with gr.Row():
-                text_input = gr.Textbox(
-                    label="Your Input",
-                    placeholder="Click the mic button and speak...",
-                    elem_classes=["input-box"],
-                    scale=9
-                )
-                mic_button = gr.Button(
-                    "🎤",
-                    elem_classes=["mic-button"],
-                    scale=1
-                )
-            
-            status_display = gr.Textbox(
-                label="Status",
-                visible=False,
-                interactive=False,
-                elem_classes=["status-message"]
-            )
-        
-        mic_button.click(
-            fn=transcribe_audio,
-            inputs=[gr.Slider(5, 30, value=10, label="Recording time limit (seconds)")],
-            outputs=[status_display, text_input],
-            show_progress="hidden"
-        )
-        
-        gr.Examples(
-            examples=["Hello world", "How are you today?", "Please convert my speech to text"],
-            inputs=text_input,
-            label="Try these examples:"
-        )
-    
-    return demo
-
-if __name__ == "__main__":
-    demo = create_ui()
-    demo.launch(debug=True)
+streamlit==1.28.0
+requests>=2.31.0
+transformers
+transformers>=4.25.0
+torch>=1.10.0
+accelerate>=0.18.0
+huggingface_hub==0.25.2
+python-dotenv>=1.0.0
+
+numpy>=1.24.0
+audio-recorder-streamlit
+torchaudio>=2.0.0