Edits history of script submission #5867 for ' Create transcription (openai)'

• nativets

  Ap­pro­ved version

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  type Base64 = string;
  /**
   * Create transcription
   * Transcribes audio into the input language.
   */
  export async function main(
    auth: Openai,
    body: {
      file: {
        base64: Base64;
        type:
          | "image/png"
          | "image/jpeg"
          | "image/gif"
          | "application/pdf"
          | "appication/json"
          | "text/csv"
          | "text/plain"
          | "audio/mpeg"
          | "audio/wav"
          | "video/mp4";
        name: string;
      };
      model: string | "whisper-1";
      language?: string;
      prompt?: string;
      response_format?: "json" | "text" | "srt" | "verbose_json" | "vtt";
      temperature?: number;
      "timestamp_granularities[]"?: ("word" | "segment")[];
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/audio/transcriptions`);
  
    const formData = new FormData();
    for (const [k, v] of Object.entries(body)) {
      if (v !== undefined && v !== "") {
        if (["file"].includes(k)) {
          const { base64, type, name } = v as {
            base64: Base64;
            type: string;
            name: string;
          };
          formData.append(
            k,
            new Blob([Uint8Array.from(atob(base64), (m) => m.codePointAt(0)!)], {
              type,
            }),
            name
          );
        } else {
          formData.append(k, String(v));
        }
      }
    }
    const response = await fetch(url, {
      method: "POST",
      headers: {
        "OpenAI-Organization": auth.organization_id,
        Authorization: "Bearer " + auth.api_key,
      },
      body: formData,
    });
    if (!response.ok) {
      const text = await response.text();
      throw new Error(`${response.status} ${text}`);
    }
    return await response.json();
  }
  

  Submitted by hugo697 372 days ago

• nativets

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  type Base64 = string;
  /**
   * Create transcription
   * Transcribes audio into the input language.
   */
  export async function main(
    auth: Openai,
    body: {
      file: {
        base64: Base64;
        type:
          | "image/png"
          | "image/jpeg"
          | "image/gif"
          | "application/pdf"
          | "appication/json"
          | "text/csv"
          | "text/plain"
          | "audio/mpeg"
          | "audio/wav"
          | "video/mp4";
        name: string;
      };
      model: string | "whisper-1";
      language?: string;
      prompt?: string;
      response_format?: "json" | "text" | "srt" | "verbose_json" | "vtt";
      temperature?: number;
      "timestamp_granularities[]"?: ("word" | "segment")[];
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/audio/transcriptions`);
  
    const formData = new FormData();
    for (const [k, v] of Object.entries(body)) {
      if (v !== undefined && v !== "") {
        if (["file"].includes(k)) {
          const { base64, type, name } = v as {
            base64: Base64;
            type: string;
            name: string;
          };
          formData.append(
            k,
            new Blob([Uint8Array.from(atob(base64), (m) => m.codePointAt(0)!)], {
              type,
            }),
            name
          );
        } else {
          formData.append(k, String(v));
        }
      }
    }
    const response = await fetch(url, {
      method: "POST",
      headers: {
        "OpenAI-Organization": auth.organization_id,
        Authorization: "Bearer " + auth.api_key,
      },
      body: formData,
    });
    if (!response.ok) {
      const text = await response.text();
      throw new Error(`${response.status} ${text}`);
    }
    return await response.json();
  }
  

  Submitted by hugo697 799 days ago

• nativets

  Edit in Windmill

  Embed

  type Openai = {
    api_key: string;
    organization_id: string;
  };
  type Base64 = string;
  /**
   * Create transcription
   * Transcribes audio into the input language.
   */
  export async function main(
    auth: Openai,
    body: {
      file: {
        base64: Base64;
        type:
          | "image/png"
          | "image/jpeg"
          | "image/gif"
          | "application/pdf"
          | "appication/json"
          | "text/csv"
          | "text/plain"
          | "audio/mpeg"
          | "audio/wav"
          | "video/mp4";
        name: string;
      };
      model: string | "whisper-1";
      language?: string;
      prompt?: string;
      response_format?: "json" | "text" | "srt" | "verbose_json" | "vtt";
      temperature?: number;
    }
  ) {
    const url = new URL(`https://api.openai.com/v1/audio/transcriptions`);
  
    const formData = new FormData();
    for (const [k, v] of Object.entries(body)) {
      if (v !== undefined && v !== "") {
        if (["file"].includes(k)) {
          const { base64, type, name } = v as {
            base64: Base64;
            type: string;
            name: string;
          };
          formData.append(
            k,
            new Blob([Uint8Array.from(atob(base64), (m) => m.codePointAt(0)!)], {
              type,
            }),
            name
          );
        } else {
          formData.append(k, String(v));
        }
      }
    }
    const response = await fetch(url, {
      method: "POST",
      headers: {
        "OpenAI-Organization": auth.organization_id,
        Authorization: "Bearer " + auth.api_key,
      },
      body: formData,
    });
    if (!response.ok) {
      const text = await response.text();
      throw new Error(`${response.status} ${text}`);
    }
    return await response.json();
  }
  

  Submitted by hugo697 895 days ago