From c18d018baa4663a26145de12e05df5273a5a62f9 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Fri, 23 Feb 2024 15:02:30 +0100 Subject: [PATCH] add audio option --- __pycache__/text_to_speech.cpython-311.pyc | Bin 0 -> 947 bytes audio_result.mp3 | Bin 0 -> 604320 bytes default.sqlite | Bin 94208 -> 94208 bytes main.py | 62 ++++++++++++--------- requirements.txt | 2 +- text_to_speech.py | 28 ++++++++++ 6 files changed, 64 insertions(+), 28 deletions(-) create mode 100644 __pycache__/text_to_speech.cpython-311.pyc create mode 100644 audio_result.mp3 create mode 100644 text_to_speech.py diff --git a/__pycache__/text_to_speech.cpython-311.pyc b/__pycache__/text_to_speech.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..769c8ed3fd51ddee725a5d5d7e354902f4706989 GIT binary patch literal 947 zcmZ`%&1(}u6rb7Me7Lc#gd&0-2HJ`dk_hosRH!1=B6skyD^FeACp?&VNbYA9za%3?nXP`$Vb%-v9kh5p)=aLE8 zhB>;?CJ$XcNSF|`y~@=vS#Njs17LYr^9fytZ{>0G5p_4H8b)DTchFIhQ(V)Ex6|3b 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st.title("Scrapegraph-ai") left_co, cent_co, last_co = st.columns(3) @@ -21,7 +24,7 @@ key = st.text_input("API key", type="password") model = st.radio( "Select the model", - ["gpt-3.5-turbo", "gpt-3.5-turbo-0125", "gpt-4"], + ["gpt-3.5-turbo", "gpt-3.5-turbo-0125", "gpt-4", "text-to-speech"], index=0, ) @@ -32,38 +35,43 @@ if not key or not model or not link_to_scrape or not prompt: st.error("Please fill in all fields.") else: - st.write("Scraping phase started ...") - (true_lens_result, graph_result) = task(key, link_to_scrape, prompt, model) - left_res, rigth_res = st.columns([1, 1]) + if model == "text-to-speech": + res = text_to_speech(key, prompt, link_to_scrape) + st.write(res["answer"]) + st.audio(res["audio"]) + else: + (true_lens_result, graph_result) = task(key, link_to_scrape, prompt, model) - with left_res: - st.write("# Answer") - st.write(graph_result[0]) - with rigth_res: - st.write("# TruLens evaluation") - print(true_lens_result["app_json"]) - st.dataframe(true_lens_result) + left_res, rigth_res = st.columns([1, 1]) - if graph_result[0]: - json_str = json.dumps(graph_result[0], indent=4) - df = pd.DataFrame(graph_result[0]) + with left_res: + st.write("# Answer") + st.write(graph_result[0]) + with rigth_res: + st.write("# TruLens evaluation") + print(true_lens_result["app_json"]) + st.dataframe(true_lens_result) - st.download_button( - label="Download JSON", - data=json_str, - file_name="scraped_data.json", - mime="application/json" - ) + if graph_result[0]: + json_str = json.dumps(graph_result[0], indent=4) + df = pd.DataFrame(graph_result[0]) - csv = df.to_csv(index=False) - st.download_button( - label="Download CSV", - data=csv, - file_name="scraped_data.csv", - mime="text/csv" - ) + st.download_button( + label="Download JSON", + data=json_str, + file_name="scraped_data.json", + mime="application/json" + ) + + csv = df.to_csv(index=False) + st.download_button( + label="Download CSV", + data=csv, + file_name="scraped_data.csv", + mime="text/csv" + ) left_co2, *_, cent_co2, last_co2 = st.columns([1]*18) diff --git a/requirements.txt b/requirements.txt index d97db70..f1b21c2 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,2 +1,2 @@ pandas==2.0.3 -scrapegraphai==0.0.6 +scrapegraphai==0.0.7 diff --git a/text_to_speech.py b/text_to_speech.py new file mode 100644 index 0000000..72d04bd --- /dev/null +++ b/text_to_speech.py @@ -0,0 +1,28 @@ +""" +Basic example of scraping pipeline using SpeechSummaryGraph +""" + +from scrapegraphai.graphs import SpeechSummaryGraph + +def text_to_speech(key:str, prompt:str, url:str): + """ + Given a text it reads after the prompt + Args: + - url (str): url to scrape + - prompt(str): prompt to do + - key(str) openaikey + """ + + + llm_config = { + "api_key": key + } + + # Save the audio to a file + audio_file = "audio_result.mp3" + speech_summary_graph = SpeechSummaryGraph(prompt, + url, llm_config, + audio_file) + + return speech_summary_graph.run() + \ No newline at end of file