Update app.py

app.py

@@ -17,27 +17,6 @@ if not os.path.exists('audio'):
 # Initialize the epitran object for English
 epi = epitran.Epitran('eng-Latn')
 
-# Step 2: Create pronunciation audio for incorrect words
-def upfilepath(local_filename):
-    ts = time.time()
-    upload_url = f"https://mr2along-speech-recognize.hf.space/gradio_api/upload?upload_id={ts}"
-    files = {'files': open(local_filename, 'rb')}
-
-    try:
-        response = requests.post(upload_url, files=files, timeout=30)  # Set timeout (e.g., 30 seconds)
-        
-        if response.status_code == 200:
-            result = response.json()
-            extracted_path = result[0]
-            return extracted_path
-        else:
-            return None
-
-    except requests.exceptions.Timeout:
-        return "Request timed out. Please try again."
-    except Exception as e:
-        return f"An error occurred: {e}"
-
 # Step 1: Transcribe the audio file
 def transcribe_audio(audio):
     if audio is None:
@@ -72,7 +51,7 @@ def transcribe_audio(audio):
     except sr.RequestError as e:
         return f"Error with Google Speech Recognition service: {e}"
 
-# Step 2: Create pronunciation audio for incorrect words (locally)
+# Function for creating pronunciation audio for incorrect words
 def create_pronunciation_audio(word):
     try:
         tts = gTTS(word)
@@ -110,7 +89,7 @@ def phonetic_respelling(sentence):
 def ipa_transcription(sentence):
     return epi.transliterate(sentence)
 
-# Step 3: Compare the transcribed text with the input paragraph
+# Step 2: Compare the transcribed text with the input paragraph
 def compare_texts(reference_text, transcribed_text):
     reference_words = reference_text.split()
     transcribed_words = transcribed_text.split()
@@ -161,13 +140,16 @@ def compare_texts(reference_text, transcribed_text):
             suggestion = difflib.get_close_matches(word, reference_words, n=1)
             suggestion_text = f" (Did you mean: <em>{suggestion[0]}</em>?)" if suggestion else ""
             up_audio = upfilepath(audio)
-            audio_src = f"https://mr2along-speech-recognize.hf.space/gradio_api/file={up_audio}"
-            html_output += f'{word}: '
-            html_output += f'<audio controls><source src="{audio_src}" type="audio/mpeg">Your browser does not support the audio tag.</audio>{suggestion_text}<br>'
+            if up_audio:
+                audio_src = f"https://mr2along-speech-recognize.hf.space/gradio_api/file={up_audio}"
+                html_output += f'{word}: '
+                html_output += f'<audio controls><source src="{audio_src}" type="audio/mpeg">Your browser does not support the audio tag.</audio>{suggestion_text}<br>'
+            else:
+                html_output += f'{word}: <span style="color: red;">Audio not available.</span><br>'
 
     return [html_output]
 
-# Step 4: Text-to-Speech Function
+# Step 3: Text-to-Speech Function
 def text_to_speech(paragraph):
     if not paragraph:
         return None  # Handle the case when no text is provided
@@ -186,7 +168,7 @@ def gradio_function(paragraph, audio):
 
     # Return comparison result
     return comparison_result
-    
+
 # Gradio Interface using the updated API
 interface = gr.Interface(
     fn=gradio_function,