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Update app.py
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app.py
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@@ -14,22 +14,21 @@ openai_api_key = os.environ.get("OPENAI_API_KEY")
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llm = OpenAI(temperature=0.9)
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def
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words = text.split()
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for word in words:
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current_chunk = word
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if
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return
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def join_wav_files(input_files, output_file):
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# Open the first input file to get its parameters
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@@ -53,7 +52,9 @@ def generate_story(text):
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template="""
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You are a fun and seasoned storyteller.
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Generate a short story for a 5 years old audience about {text}.
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)
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story = LLMChain(llm=llm, prompt=prompt)
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story_result = story.run(text=text)
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@@ -64,8 +65,8 @@ def generate_story(text):
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β
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""")
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input_waves = []
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text_chunks =
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for chunk in text_chunks:
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print(chunk)
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result = eleven.predict(
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llm = OpenAI(temperature=0.9)
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def split_text_into_sentences(text):
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sentences = []
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current_sentence = ''
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words = text.split()
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for word in words:
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current_sentence += ' ' + word
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if word.endswith('.'):
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sentences.append(current_sentence.strip())
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current_sentence = ''
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if current_sentence:
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sentences.append(current_sentence.strip())
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return sentences
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def join_wav_files(input_files, output_file):
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# Open the first input file to get its parameters
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template="""
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You are a fun and seasoned storyteller.
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Generate a short story for a 5 years old audience about {text}.
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Use short sentences. The story is not too long, but not too short either.
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Always finish your story with "The End".
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"""
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)
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story = LLMChain(llm=llm, prompt=prompt)
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story_result = story.run(text=text)
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β
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""")
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input_waves = []
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text_chunks = split_text_into_sentences(story_result)
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for chunk in text_chunks:
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print(chunk)
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result = eleven.predict(
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